Principal Applied Scientist, Reinforcement Learning, Supply Chain Optimization Technologies
: Job Details :


Principal Applied Scientist, Reinforcement Learning, Supply Chain Optimization Technologies

Amazon

Location: New York,NY, USA

Date: 2024-12-16T18:36:41Z

Job Description:
Are you seeking an environment where you can drive innovation? Do you want to be at the forefront of applying machine learning to solve real world problems? Do you want to play a key role in the future of Amazon's Stores business? Come and join us! The Supply Chain Optimization Technologies (SCOT) group is seeking a Principal Applied Scientist to join our Reinforcement Learning team. Our research team, which includes Sham Kakade and Dean Foster, has published research in top journals and conferences and has a significant impact on the field. Through the launch of several Deep RL models into production, our work also affects decision making in the real world. Key job responsibilities. Key job responsibilities include:- Design, implement and evaluate models, agents and software prototypes- Technical leadership for a group of highly motivated and talented scientists- Engage key business stakeholders and scientists to surface opportunities for improvement and identify business requireme...Supply Chain, Scientist, Optimization, Principal, Development Engineer, Tech, Technology
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